serpapi-performance-tuning

Installation
SKILL.md

SerpAPI Evidence-Driven Performance Tuning

Overview

Optimize the measured bottleneck while preserving result freshness, schema correctness, privacy, and account capacity.

Prerequisites

  • Engine-level latency histograms, payload sizes, error rates, cache hits, and search consumption
  • User-facing latency and freshness objectives plus an account throughput budget
  • Representative sanitized fixtures and a reversible canary environment

Tool Discipline

Use Read, Glob, and Grep to inspect call paths and instrumentation, WebFetch to verify current cache and output features, and Write or Edit for measurements, cache layers, field selection, tests, and rollback controls.

Current Contract

For an exactly matching parameter set, SerpAPI may serve its one-hour server cache; cached searches are free and do not count toward monthly searches. no_cache=true forces a fresh fetch and must not be combined with async. JSON Restrictor reduces selected JSON fields, and output=md provides token-efficient Markdown for agent use.

Installs
1
GitHub Stars
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First Seen
11 days ago
serpapi-performance-tuning — jeremylongshore/tons-of-skills-marketplace